Seaborn
visualization library
Statistical visualization library based on Matplotlib
Supported languages
Pros and Cons
Ventajas
- + Simple API
- + Attractive styles
- + Pandas integration
- + Statistical visualizations
- + Statistical plots with little code
- + Attractive default styles
- + Perfect integration with pandas
- + Advanced statistical visualizations
- + Well-designed color palettes
- + Excellent documentation with examples
Desventajas
- - Less flexible than Matplotlib
- - Limited customization
- - Less flexible than pure matplotlib
- - Not interactive (static)
- - Slow with large datasets
- - Advanced customization requires matplotlib
- - Limited for non-statistical plots
Casos de Uso
- Exploratory analysis
- Statistical visualization
- Heatmaps and correlations
- Data science
- Exploratory data analysis (EDA)
- Visualizations for reports
- Distribution and correlation plots
- Heatmaps and confusion matrices
- Group comparisons
- Scientific publications